Full-Time Data Analytics Manager

• Lead, mentor, and grow a small, multidisciplinary data team (data engineers, analysts, data scientists).
• Define, refine and implement best practices for data modeling, transformation (DBT), orchestration (Airflow), and testing.
• Own the data stack and architecture (e.g., Snowflake, DBT, Metabase/Sigma, Stitch).
• Collaborate with stakeholders to define KPIs, build dashboards, and provide strategic insights.
• Drive data governance, quality, documentation, and metric standardization.
• Guide the development of data products and experimentation frameworks (A/B testing, churn prediction, etc.).
• Partner with leadership to align data strategy with business objectives.
• Stay up to date on modern data tooling and recommend improvements to scale infrastructure and processes.

• 5+ years of experience in data roles, with at least 1–2 years managing a technical team.
• Strong technical skills in SQL, DBT, and orchestration tools like Airflow.
• Experience with modern data stacks (e.g., Snowflake, Redshift, BigQuery) and ELT tools (Stitch, Fivetran, Airbyte).
• Proficiency in data visualization and BI tools (Metabase, Sigma, Looker, or similar).
• Familiarity with Python or R for scripting and data science workflows.
• Solid understanding of experimentation, forecasting, and statistical analysis.
• Proven ability to drive cross-functional alignment and communicate clearly with technical and non-technical stakeholders.
• Passionate about building clean, scalable data infrastructure and enabling data-driven decisions.

• Experience in a startup or high-growth environment
• Exposure to customer or product analytics
• Knowledge of dbt Cloud and CI/CD for analytics engineering

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